To train SSIS-Track with less reliance on video instance annotations, we compile SOBA-VID, a new dataset with a set of unlabeled videos for training and another set of labeled videos for testing.
Besides, for quantitative performance evaluation on the VISD task, we formulate the SOAP-VID metric based on
SOAP [1]}
by considering Intersection-over-Union (IoU) computation in a spatio-temporal manner[2]}.
In the end, we perform a series of experiments, manifesting SSIS-Track's effectiveness and applicability in video editing.
